class_docstr: Pass through the activations without trying to calibrate.
code: def apply_calibration(self, values: Sequence[float]) -> list[float]:
      return values if isinstance(values, list) else list(values)
  
imports: from __future__ import annotations
  import asyncio
  from abc import abstractmethod
  from typing import Optional, Sequence
  import numpy
  from neuron_explainer.activations.activations import ActivationRecord
  from neuron_explainer.explanations.explanations import ActivationScale
  from neuron_explainer.explanations.simulator import NeuronSimulator, SequenceSimulation
  from sklearn import linear_model
label_desc: Use image node_id 3 for calling the UncalibratedNeuronSimulator obj's underlying member method code with example usage: obj.apply_calibration(values) and returns: unknown